Performance of an artificial intelligence algorithm for reporting urine cytopathology
Author:
Affiliation:
1. UPMC Enterprises Pittsburgh Pennsylvania
2. Department of Pathology University of Pittsburgh Medical Center Pittsburgh Pennsylvania
Publisher
Wiley
Subject
Cancer Research,Oncology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cncy.22176
Reference39 articles.
1. Quick Compendium of Cytopathology;Khalbuss WE;ASCP Press,2013
2. Negative predictive value and sensitivity of urine cytology prior to implementation of The Paris System for Reporting Urinary Cytology
3. Accuracy and Interobserver Variability of the Cytologic Diagnosis of Low-Grade Urothelial Carcinoma in Instrumented Urinary Tract Cytology Specimens
4. Causes of false-negative for high-grade urothelial carcinoma in urine cytology
5. Accuracy of grading of urothelial carcinoma on urine cytology: an analysis of interobserver and intraobserver agreement;Reid MD;Int J Clin Exp Pathol,2012
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